APA
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Zhao, J., Zhang, Y., Schlueter, D. J., Wu, P., Eric Kerchberger, V., Trent Rosenbloom, S., … Wei, W.-Q. (2019). Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. Journal of Biomedical Informatics, 98, 103270.
Chicago/Turabian
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Zhao, Juan, Yun Zhang, David J. Schlueter, Patrick Wu, Vern Eric Kerchberger, S. Trent Rosenbloom, Quinn S. Wells, QiPing Feng, Joshua C. Denny, and Wei-Qi Wei. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics 98 (October 2019): 103270.
MLA
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Zhao, Juan, et al. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics, vol. 98, Oct. 2019, p. 103270.
BibTeX Click to copy
@article{zhao2019a,
title = {Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study},
year = {2019},
month = oct,
journal = {Journal of Biomedical Informatics},
pages = {103270},
volume = {98},
author = {Zhao, Juan and Zhang, Yun and Schlueter, David J. and Wu, Patrick and Eric Kerchberger, Vern and Trent Rosenbloom, S. and Wells, Quinn S. and Feng, QiPing and Denny, Joshua C. and Wei, Wei-Qi},
month_numeric = {10}
}